Challenges in the representation of digital applications in SGAM: Overview and solutions

Autor: Jose Angel Leiva Vilaplana, Konrad Sundsgaard, Gabriel Miguel Gomes Guerreiro, Guangya Yang
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Leiva Vilaplana, J A, Sundsgaard, K, Gomes Guerreiro, G M & Yang, G 2022, Challenges in the representation of digital applications in SGAM: Overview and solutions . in Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies . IEEE, 2022 IEEE PES Innovative Smart Grid Technologies Europe, Novi Sad, Serbia, 10/10/2022 . https://doi.org/10.1109/ISGT-Europe54678.2022.9960549
ISSN: 2013-1070
DOI: 10.5281/zenodo.6992352
Popis: Digital applications foster innovation and spur new business models emergence in the power and energy sector, enabling further development toward smart grids. The ongoing integration of disruptive digital tools and smart grid solutions brings new complexities to the design of new smart grid applications. To cope with standardisation and interoperability concerns, the smart grid architecture model (SGAM) is the state of the art framework to design new applications in the ecosystem of smart grids. However, conceptual challenges related to the actor's definition arise when mapping new digital applications to SGAM, among others such as artificial intelligence and digital twins. Thus, this paper explores the latter challenges and presents three potential solutions to facilitate the deployment of digital applications in SGAM. These solutions are: integration of a new interoperability layer to cover digital applications and humans in the current SGAM design, decoupling of the component layer in three layers regarding the typology of actors, and integration of a new interoperability layer to better represent the digital actors in cyber-physical applications.
{"references":["X. Liang, \"Emerging power quality challenges due to integration of renewable energy sources,\" IEEE Transactions on Industry Applications, vol. 53, pp. 855–866, 3 2017.","M. L. Tuballa and M. L. Abundo, \"A review of the development of Smart Grid technologies,\" Renewable and Sustainable Energy Reviews, vol. 59, pp. 710–725, 2016. [Online]. Available: http: //dx.doi.org/10.1016/j.rser.2016.01.011","E. Hossain, I. Khan, F. Un-Noor, S. S. Sikander, and M. S. H. Sunny, \"Application of big data and machine learning in smart grid, and associated security concerns: A review,\" IEEE Access, vol. 7, pp. 13 960– 13 988, 2019.","X. Yu and Y. Xue, \"Smart grids: A cyber–physical systems perspective,\" Proceedings of the IEEE, vol. 104, no. 5, pp. 1058–1070, 2016.","M. Uslar, S. Rohjans, C. Neureiter, F. P. Andr´en, J. Velasquez, C. Steinbrink, V. Efthymiou, G. Migliavacca, S. Horsmanheimo, H. Brunner, and T. I. Strasser, \"Applying the smart grid architecture model for designing and validating system-of-systems in the power and energy domain: A European perspective,\" Energies, vol. 12, no. 2, 2019.","NIST, \"NIST Framework and Roadmap for Smart Grid Interoperability Standards, 1.0,\" National Institute of Standards and Technology, Tech. Rep. 1108, 2010. [Online]. Available: https://www.nist.gov/system/files/ documents/public affairs/releases/smartgrid interoperability final.pdf","G. Simard, \"Ieee grid vision 2050,\" IEEE Grid Vision 2050, pp. 1–93, 2013.","Smart Grid Coordination Group, \"Smart Grid Reference Architecture,\" CEN-CENELEC-ETSI, Brussels, Tech. Rep., 2012. [Online]. Available: https://www.cencenelec.eu/media/CEN-CENELEC/AreasOfWork/ CEN-CENELEC Topics/SmartGridsandMeters/SmartGrids/reference architecture smartgrids.pdf","IEC, \"Systems Reference Document 63200:2021,\" 2021. [Online]. Available: https://webstore.iec.ch/publication/62757","CEN-CENELEC-ETSI Smart Grid Coordination Group, \"Sustainable Processes,\" no. November, p. 101, 2012. [Online]. Available: http://ec.europa.eu/energy/gas electricity/smartgrids/ doc/xpert group1 sustainable processes.pdf","U. Cali, M. Kuzlu, M. Pipattanasomporn, J. Kempf, and L. Bai, \"Introduction to the Digitalization of Power Systems and Markets,\" Digitalization of Power Markets and Systems Using Energy Informatics, pp. 1–16, 2021.","Data Management Working Group, \"European energy data exchange reference architecture Data Management Working Group,\" European Commission, Tech. Rep., 2021. [Online]. Available: https://ec.europa.eu/energy/sites/default/files/documents/bridge wg data management eu reference architcture report 2020-2021.pdf","A. Szekeres and E. Snekkenes, Representing Decision-Makers in SGAMH: The Smart Grid Architecture Model Extended with the Human Layer. Springer International Publishing, 2020, vol. 12419 LNCS, no. 248113. [Online]. Available: http://dx.doi.org/10.1007/978-3-030-62230-5 5","D. K. Panda and S. Das, \"Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy,\" Journal of Cleaner Production, vol. 301, p. 126877, 2021. [Online]. Available: https://doi.org/10.1016/j.jclepro.2021.126877","GridWise® Architecture Council, \"GridWise Interoperability Context- Setting Framework,\" Tech. Rep., 2008. [Online]. Available: https: //www.gridwiseac.org/pdfs/interopframework v1 1.pdf","IEC, \"IEC 62559-2:2015: Use case methodology – Part 2: Definition of the Templates for Use Cases, Actor List and Requirements List,\" 2015. [Online]. Available: https://webstore.iec.ch/publication/22349","R. Santodomingo, M. Uslar, A. G¨oring, M. Gottschalk, L. Nordstrom, A. Saleem, and M. Chenine, \"SGAM-based methodology to analyse Smart Grid solutions in DISCERN European research project,\" in ENERGYCON 2014 - IEEE International Energy Conference, no. May 2015, Dubrovnik, Croatia, 2014, pp. 751–758."]}
Databáze: OpenAIRE